EP4337529A1 - Ermitteln eines flugzustandes und steuerung eines gleitschirms - Google Patents
Ermitteln eines flugzustandes und steuerung eines gleitschirmsInfo
- Publication number
- EP4337529A1 EP4337529A1 EP21726864.8A EP21726864A EP4337529A1 EP 4337529 A1 EP4337529 A1 EP 4337529A1 EP 21726864 A EP21726864 A EP 21726864A EP 4337529 A1 EP4337529 A1 EP 4337529A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- flight
- distance
- canopy
- sensor
- paraglider
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D17/00—Parachutes
- B64D17/02—Canopy arrangement or construction
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D17/00—Parachutes
- B64D17/62—Deployment
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C31/00—Aircraft intended to be sustained without power plant; Powered hang-glider-type aircraft; Microlight-type aircraft
- B64C31/02—Gliders, e.g. sailplanes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C31/00—Aircraft intended to be sustained without power plant; Powered hang-glider-type aircraft; Microlight-type aircraft
- B64C31/028—Hang-glider-type aircraft; Microlight-type aircraft
- B64C31/036—Hang-glider-type aircraft; Microlight-type aircraft having parachute-type wing
Definitions
- the invention relates to a flight condition system for determining a flight condition of a paraglider and an evaluation system and/or control system for it, a paraglider with such a system and a method for determining a flight condition of a paraglider.
- the initial flight condition system is used to determine a flight condition of a paraglider.
- the paraglider comprises a canopy with two canopy ends and carries a load when operated as intended.
- the flight status system has a sensor arrangement for determining a first distance between the end of the canopy and/or at least a second distance between the end of the canopy and the load.
- the flight status system includes an evaluation unit that determines the flight status using the first distance and/or the second distances.
- a paraglider also known as a paraglider or paraglider, is foot-launched air sports equipment for paragliding or paragliding. It includes a canopy, lines and risers.
- the canopy or the wing is usually approximately elliptical made of nylon fabric. It usually includes an upper and lower surface and is divided into numerous chambers that extend in the direction of flight. It has two shield cap ends, i.e. two wing tips, which form the lateral end of the wing.
- Gallery lines usually run down from the underside of the sail in several levels, which are brought together to form main lines. The main lines are in turn hooked into line locks and are connected to the respective left and right webbing.
- a harness for the pilot is required for paragliding.
- the paraglider is connected to the pilot's harness with carabiners via the straps, also known as risers.
- the load which is carried by the paraglider, is attached to the risers by means of carabiners.
- the load therefore refers to the total weight hanging from the paraglider.
- the load z. B. also include a motor and a linkage sen.
- the motor can be arranged behind the pilot, for example by means of the linkage or by means of push rods.
- the flight status system includes the components required to determine the flight status. i.e. the term "flight condition system” means a flight condition detection system and/or a flight condition prediction system, as will be described later in detail.
- the “flight state” can usually be determined from the interaction of a large number of input parameters which, according to the invention, include the first distance and/or at least a second distance. Other parameters will be explained in detail later, they include, for example - for one or more axes 3 sen - a position, a speed, an acceleration, an angular position, an angular velocity and / or an angular acceleration of the paraglider or an individual components thereof and z.
- the sensor arrangement includes sensors that are suitable for detecting the parameters required to determine the flight condition. So e.g. B. the determination of a first distance and/or the second distance can be done directly by means of a distance sensor or indirectly by means of sensors that record the inertial moments of the individual components of the paraglider relative to each other and/or absolutely, e.g. one or more IMU (Inertial Measurement Unit).
- the sensors can thus be combined, for example, in sensor units which are arranged in particular at the ends of the screen cap and/or in the area of the load.
- a distance generally describes the distance between two points.
- the first distance designates the distance between the two ends of the screen cap and the second distances the distance between each end of the screen cap and the load.
- the flight status is determined by means of the evaluation unit.
- the evaluation unit combines, for example, the previously recorded values of individual input parameters into output parameters that are relevant for the pilot and characteristic of the flight condition and outputs their values.
- output parameters are a general flight status parameter, which combines all input parameters into a value that is characteristic of the current and/or future flight situation, or a stability parameter for the canopy, which indicates whether the canopy is in a stable condition or, e.g. B. is about to collapse.
- the flight status can also be characterized by a vector of individual output parameters.
- an abstract parameter or vector of parameters can also be determined as the flight status, which enables the flight status to be categorized into conventional maneuvers, aerobatic maneuvers and/or hazardous situations, for example. 4
- Conventional flight maneuvers are e.g. E.g.: Control maneuvers such as pitching, rolling, “fast figure eight", “circling in the updraft band", descent aids such as a steep spiral, "big ears” or “B-stall”.
- Aerobatic maneuvers are e.g. E.g.: "Helicopter”, “SAT” or "(infinity) tumbling”.
- Dangerous situations are e.g. B.: a complete or one-sided stall ("stall"), an accelerated or unaccelerated lateral deformation (“collapse”), a front deformation ("front stall") as well as a permanent deformation ("cravat”).
- stall complete or one-sided stall
- stall an accelerated or unaccelerated lateral deformation
- front deformation front stall
- cravat permanent deformation
- the flight status is thus described by output parameters which, compared to the input parameters, enable the actual flight situation to be recorded and evaluated more quickly and easily.
- the assessment can be made by the pilot, by a flight instructor or z. B. also computer-based.
- the invention is therefore based on the knowledge that in particular the determined distance between the ends of the canopy or the load and the ends of the canopy improves the determination of the flight condition.
- Other parameters such as B. the acceleration or angular acceleration of the canopy ends or a tension or force that acts on the main lines or gallery lines are in this respect ge taken alone disadvantageous.
- the distance between the ends of the canopy and/or the load is characteristic of the stability of the canopy and thus also of the general flight condition.
- a flight status system in particular according to the invention, in particular for a paraglider, comprises a sensor arrangement for recording flight data and an evaluation unit which, based on the flight data, makes a prediction about a future flight status.
- the flight data include at least the current sensor data.
- previous sensor data are preferably also included as a flight history in order to include a development of the flight situation or the flight status.
- the flight data include z. B. completely or partially measured values for the input parameters mentioned above.
- the position of the paraglider represents an independent idea in itself. However, special synergetic effects result when it is combined with the flight status system described above.
- the flight status as described above, can be determined, included in the flight data and included in the prediction.
- the prediction of the future flight status is preferably based on the experiences or assessments of experienced pilots.
- the evaluation unit evaluates a similarity of the current flight situation in relation to example flight situations, the flight data of which was previously recorded and the z. B. have been expertly assessed with regard to their dangerousness.
- the evaluation of the similarity can e.g. This can be done, for example, simply by comparing the parameters and their time course using the least squares method.
- the evaluation unit for evaluating the similarity preferably includes the use of a trained AI-based method, in particular a neural network, as will be described later in detail.
- the evaluation system and/or control system mentioned at the outset is suitable for use in a flight status system according to the invention.
- it has interfaces for receiving sensor data from a sensor arrangement.
- the sensor data include in particular a first distance between the ends of the screen cap and/or at least a second distance between the end of the screen cap and a load.
- It also has an evaluation unit which determines and/or predicts the flight status, preferably using the first distance and/or the second distances.
- it also includes a control unit that controls a motor and/or a trigger of a reserve parachute based on the flight condition and/or a forecast.
- the flight status is determined and/or predicted essentially as already described above.
- the control unit Depending on the flight condition and/or its forecast, the control unit generates control signals for controlling the motor and/or the release mechanism of the rescue parachute in order to alleviate a critical flight situation. For example, at the right moment, a short boost from the motor can be used to adjust the relative speed between pilot and paraglider. This makes it possible, for example, to prevent a front collapse/stall. This situation can occur, for example, when changing between rising and falling air masses. 6
- Another example is the brief influencing of the angle of attack by controlling the motor accordingly.
- a dynamic stall can occur, since the angle of attack can briefly become critically high due to the inertia of the system. This effect can be mitigated by reducing the thrust (possibly by using a reverse thrust).
- control unit can, for example, cause an emergency shutdown of the engine if z. B. the lines or the canopy get into a safety area around the rotor.
- the motor can be designed, for example, as a battery-powered electric motor with a rotor that is used as an electric climbing aid. It is preferably arranged at a distance behind the pilot in the direction of flight, so that the pilot cannot get into the safety area of the rotor.
- the rescue parachute (short: rescuer) has been thrown manually by the pilot.
- the control device can, for example, actuate or trigger a mechanical (e.g. by means of a pre-stressed spring) or pyromechanical (by means of a suitable propellant charge) throwing device, which transports the rescuer away from the pilot to a sufficient distance.
- a mechanical e.g. by means of a pre-stressed spring
- pyromechanical by means of a suitable propellant charge
- the uncontrolled spin be particularly advantageous because the control unit can coordinate the timing of the release better than the pilot. This can advantageously prevent the rescuer from getting caught in the lines or the canopy. This ensures that the rescuer can carry out its intended function.
- the paraglider mentioned at the outset comprises a flight status system according to the invention and/or an evaluation system and/or control system according to the invention.
- it also includes an electrical ascent aid, optionally controlled by the control unit, and/or a throwing device for the rescue parachute, which can be actuated by the control unit.
- the above-mentioned method for determining a flight condition of a paraglider which comprises a canopy with two canopy ends and carries a load during normal operation, has at least the following steps.
- a first distance between the canopy ends and/or at least a second distance between a canopy end and the load is determined.
- the flight condition is determined using the first distance and/or the second distances.
- the individual characteristics 7 of the method are configured essentially analogously to the device features described above.
- the evaluation system and/or control system according to the invention in particular also the entire flight status system, can advantageously be retrofitted in existing paragliders. However, it is also possible to equip new paragliders to be manufactured with one of the systems according to the invention during manufacture.
- the essential components of the evaluation system and/or control system according to the invention, or a corresponding part of the flight status system, can for the most part be designed in the form of software components. In principle, however, these components can also be partially implemented in the form of software-supported hardware, for example FPGAs or the like, particularly when particularly fast calculations are involved.
- the required interfaces can also be designed as software interfaces, for example when it is only a matter of taking over data from other software components. However, they can also be in the form of hardware interfaces that are controlled by suitable software.
- the evaluation system and/or control system according to the invention can be part of a paraglider with an electric ascent aid and/or a rescue parachute that can be triggered by the controller.
- a largely software-based implementation has the advantage that paragliders or flight status systems that have already been used can be retrofitted in a simple manner by means of a software update and possibly using fewer components in order to work in the manner according to the invention.
- the task is also solved by a corresponding computer program product with a computer program, which can be loaded directly into a memory device of an evaluation system and/or control system of a paraglider, with program sections to carry out all steps of the method according to the invention if the program is in the evaluation system and/or control system is running.
- Such a computer program product can, in addition to the computer program, optionally contain additional components such as e.g. B. documentation and / or additional components, including hardware components such as hardware keys (dongles, etc.) for using the software include. 8th
- a computer-readable medium e.g. a memory stick, a hard disk or another transportable or permanently installed data medium, on which the information from a computer unit of the Evaluation tesystems and / or control system or the flight status system readable and executable program sections of the computer program are stored.
- the computer unit can, for example, have one or more microprocessors or the like working together.
- the sensor arrangement preferably comprises a number of distance sensors which are arranged in the area of the load and/or in the area of at least one end of the canopy.
- a distance sensor is particularly preferably arranged in the area of the load or of the pilot and in each case at the two ends of the canopy.
- a distance sensor is particularly preferably arranged both at both ends of the screen cap and in the area of the load. Accordingly, the distances are preferably determined directly using the distance sensors.
- the distance sensors can be implemented as optical sensors, for example, but they are particularly preferably designed as ultrasonic sensors.
- the sensor arrangement preferably includes one or more of the following sensors: acceleration sensor, gyroscope, magnetometer, barometer, GPS sensor, dynamic pressure sensor.
- acceleration sensors and gyroscopes can be integrated in an IMU.
- a canopy sensor unit particularly preferably has a distance sensor and a magnetometer in addition to such an IMU.
- a central sensor unit also includes a barometer and a GPS sensor.
- preferably z. B. Add load cells to measure line load. These are then integrated between the line buckles and the risers.
- a dynamic pressure sensor can, for example, in a 9 of the chambers of the canopy and measure the air pressure in this chamber.
- Several dynamic pressure sensors can preferably also be arranged in different chambers in each case in order to record the prevailing pressure in the chambers more holistically.
- the sensor arrangement preferably comprises at least one LIDAR sensor.
- the LIDAR sensor is particularly preferably designed and arranged in such a way that it detects the intrusion of foreign bodies - e.g. lines, parts of the canopy, parts of the pilot's body - into a safety area around a rotor. If the intrusion of foreign objects has been detected, the control unit can, for example, trigger an emergency shutdown of the rotor in order to minimize the resulting danger.
- the LIDAR sensor can, for example, be assigned to the central sensor unit or also be connected directly to the evaluation unit separately.
- the individual components (sensors, sensor units) of the sensor arrangement to the evaluation unit or the evaluation system and/or control system or the other components of the flight status system by cable.
- the connection to the components of the sensor arrangement is preferably wireless, i.e. it is implemented, for example, using W-LAN, Bluetooth, Zigbee or similar standards for wireless transmission.
- the individual measured values are preferably transmitted at a frequency of at least 100 Hz and with a maximum latency of 10 ms.
- the flight status system preferably includes a flight recorder that stores flight data that includes a chronological sequence of flight statuses.
- the flight recorder particularly preferably also stores other flight data, such as the individual measured values of the sensors. On the one hand, this enables the pilot to understand and train certain flight situations and reactions to them.
- the data sets generated in this way can be used to improve or train the evaluation unit, in particular a AI-based method, or the flight status system.
- the evaluation unit preferably includes an analysis unit with a trained AI-based method.
- AI-based method refers to a machine method that mimics cognitive functions related to the human mind.
- the term includes B. simple machine learning and deep machine learning.
- “Simple” or “traditional” machine learning methods include e.g. B. logistical 10 gression, support vector machine (SVM), random forest or similar.
- SVM support vector machine
- the trained AI-based method is able to adapt to new circumstances and to recognize and extrapolate patterns through training on the basis of training data.
- supervised training, semi-supervised training, unsupervised training, reinforcement learning and/or active learning can be used.
- the parameters of the trained AI-based method can be iteratively adjusted through several training steps.
- the trained AI-based method can particularly preferably be embodied as a deep machine learning method, very particularly preferably as a neural network.
- the neural network may include a deep neural network, a foldable neural network, or a foldable deep neural network.
- the neural network has a known basic architecture. However, its inner structure is individually shaped by the training. The training thus defines the inner "structure” of the neural network and distinguishes it from other trained neural networks (also with the same basic architecture).
- the weights or parameters within its structure are automatically adjusted so that they resemble the training data.
- Known optimization approaches e.g. B. a gradient descent algorithm or an Adam algorithm in combination with e.g. B. the cross-entropy loss function can be used.
- the input data (input vector) for the neural network includes measured values from the sensors mentioned above. Depending on the application or specific configuration of the neural network, either measurement data from all sensors or only the measurement data from some of the sensors can be used. The measured values can only be included at one point in time, but a time profile of the measured values from a defined time interval can also be combined as an input vector.
- the training data includes the input data or input vectors and assigned annotations by experienced pilots.
- the pilots can, for example, create annotations for their own flight or, for example, annotate the flight status accordingly using additionally recorded video sequences.
- the flight condition can be like a general 11 flight condition parameters (general evaluation of the flight situation under safety aspects) e.g. B. using a freely selectable scale, stability parameters for the canopy z. B. using a freely selectable scale, a categorization of the flight condition in defi ned conventional maneuvers, aerobatic maneuvers and / or defined dangerous situations or the like are annotated.
- the conventional maneuvers include z. B. Control maneuvers such as pitching, rolling, “fast eight", “circling in the thermal band”; Descent aids such as spiral dives, "big ears", “B-stall” or the like.
- the aerobatic maneuvers include "helicopter", “SAT”, “(infinity) tumbling” or the like. Whereas hazardous situations include, for example, a full or one-sided stall ("stall"), accelerated/unaccelerated lateral deformation ("collapse”), frontal deformation ("front stall”), permanent deformation (“cravat”), or the like. However, the transition between aerobatic maneuvers and dangerous situations can be fluid.
- the output vector of the neural network therefore includes all or at least some of the output parameters mentioned and/or the categorization.
- the measured values of the sensors for the training data in relation to the conventional maneuvers can also be recorded during normal paragliding, the measured values of the sensors for the training data in relation to the dangerous situations in a safe environment (e.g. over water at present water rescue) by experienced pilots by means of deliberately initiated dangerous situations.
- a safe environment e.g. over water at present water rescue
- the weights/parameters of the network are adjusted for the specific task and can e.g. B. Evaluate flight situations with regard to safety and/or the stability of the canopy and/or recognize the current maneuvers or dangerous situations.
- a future flight state can be predicted, preferably using a trained AI-based method, particularly preferably using a neural network.
- Typical countermeasures such as e.g. B. weight shift, 12
- Countersteering, braking or the like are assigned to help the pilot to avoid the dangerous situation and / or improve the flight condition.
- the flight status system preferably includes acoustic and/or optical output means for outputting the flight status and/or an instruction based on the flight status and/or a prediction.
- Instructions corresponding to the flight status can be issued via the output means.
- a shift in body weight can also be used (e.g. in the event of a lateral collapse or cravat).
- Some situations also require the "pulling" of certain lines (e.g. stabilo line in the event of a tangle).
- the acoustic output means can include headphones and/or a loudspeaker, for example.
- the optical output means can e.g. B. as a wrist dis play, be formed on a smartwatch or a smartphone with the appropriate holder.
- the optical output means AR displays include the instructions or information z. B. in a pair of glasses or in a helmet visor as an overlay in the field of view.
- the flight status system preferably includes a control unit that controls a motor and/or a trigger of a rescue parachute based on the flight status and/or a prediction.
- FIG. 1 shows a roughly schematic front view of an exemplary embodiment of a paraglider according to the invention with an exemplary embodiment of a flight status system according to the invention, 13
- FIG. 2 shows a roughly schematic side view of a further exemplary embodiment of a paraglider according to the invention with an exemplary embodiment of a flight status system according to the invention
- FIG. 3 shows a schematic block diagram of an exemplary embodiment of a flight status system according to the invention
- FIG. 4 shows a schematic flow diagram of an exemplary embodiment of a method according to the invention for determining a flight condition.
- FIG. 1 shows, by way of example and roughly schematically, an embodiment of a paraglider 50 according to the invention with an embodiment of a flight status system 20 according to the invention in a frontal view.
- the paraglider 50 comprises a canopy 51 which is connected to a load 53 by means of gallery lines and main lines 60 .
- the load is provided by a pilot 53 is.
- the canopy 51 has a substantially elliptical shape whose main axis extends perpendicularly to a flight direction.
- the canopy 51 has two canopy ends 52 on its lateral sides (left to right from the pilot's perspective).
- the flight status system 20 includes a sensor arrangement S1, S2, S3, S4 and other components, such as the central unit 30, which are explained in detail with reference to FIG.
- the sensor arrangement S1, S2, S3, S4 has four sensor units S1, S2, S3, S4.
- a central sensor unit S1 is arranged in the area of the load or of the pilot 53 and can be integrated in the central unit 30, for example.
- a screen cap end sensor unit S2, S3 is arranged in the region of one of the screen cap ends 52 in each case.
- another canopy center sensor unit S4 is arranged in the region of the center of the canopy.
- the canopy end sensor units S2, S3 are arranged at a first distance d1 from one another.
- One of the canopy end sensor units S2, S3 is arranged at a second distance d2 or d3 from the load.
- the distances d1, d2, d3 change in a characteristic manner, so that the flight maneuvers or dangerous situation can be well characterized using these distances.
- the sensor units S1, 14 In order to measure the distances d1, d2, d3, the sensor units S1, 14
- S2, S3 each have an ultrasonic distance sensor 21, as will be explained in more detail with reference to FIG.
- FIG. 2 shows a roughly schematic side view of a further exemplary embodiment of a parachute 50' according to the invention.
- the paraglider 50' shown in FIG. 2 is basically similar to the paraglider 50 from FIG.
- the electric climbing aid 58, 59 to summarizes an electric motor 58 which drives a rotor 59 to generate thrust.
- the electric ascent aid 58, 59 is arranged behind the pilot (not shown here) in the direction of flight and is spaced from the pilot by means of a spacer element 57 in such a way that the pilot cannot get into a safety area around the rotor 59 with his extremities.
- the spacer element 57 is by means of two push rods 56 on either side of the pilot in a respective suspension point 55 z.
- B. lines 60 connected by means of a carabiner with the trunk. The weight of the electric ascent aid 58, 59, the spacer element 57 and the push rods 56 is thus also carried by the paraglider 50' and contributes to the
- a rescue parachute 61 is arranged on the harness 54, which includes a throwing mechanism including a trigger that can be controlled by a control unit 35, such as is described in detail with reference to FIG. Likewise, the motor 58 can be controlled by the control unit 35 .
- the control unit 35 is an integrated part of the central unit 30 here.
- the central unit 30 also includes the central sensor unit S1 here.
- FIG. 3 shows a block diagram of an exemplary embodiment of a flight status system 20 according to the invention.
- the flight status system 20 includes a central unit 30 which is arranged in the area of the load 53 . It also comprises two peripheral canopy end sensor units S2, S3, which are arranged in the region of the canopy ends 52 of the paraglider 50, 50'.
- a central sensor unit S1 is integrated into the central unit 30 .
- the central sensor unit S1 and the two screen cap end sensor units S2, S3 form a sensor arrangement S1, S2, S3 with the first and second distances already described with reference to FIG. 15
- the two canopy end sensor units S2, S3 are each connected to the central unit 30 by means of sensor interfaces 28. They each have a distance sensor 21, an acceleration sensor 22 and a 23 gyroscope.
- the trimming sensor 22 or the gyroscope 23 is the acceleration in the direction of all axes and can be designed, for example, as a combined IMU.
- the canopy end sensor units S2, S3 can also have other sensors, such as a magnetormeter 24 or a dynamic pressure sensor, if required.
- the central sensor unit S1 also includes a barometer 25, a GPS sensor 26 and a LIDAR sensor 27, the measuring range of which is aligned with the rotor 59, compared to the sensor units S2, S3 at the end of the canopy. It can thus be determined with the LIDAR sensor 27 whether an object penetrates into the safety area of the rotor 59 .
- the gyroscopic values of the paraglider 50, 50' are determined in order to determine the rotational speed about the roll, pitch and yaw axes and to detect deformation of the airfoil.
- the acceleration values of the paraglider 50, 50' are determined in order to be able to derive the movement of the paraglider or individual parts, to determine the horizontal alignment (vector of earth gravity) and for the absolute long-term correction of the relative gyroscope
- the long-term correction describes the compensation of the long-term drift of the gyroscopes. Since a gyroscope only records relative angular velocities, the absolute starting point must be redetermined at defined intervals. This is done for the roll and pitch axis by means of a comparison to the (time-averaged) vector of the earth's gravity and for the yaw axis by means of a comparison to the magnetometric data.
- the acceleration values of the pilot or of the load 53 are determined in order to determine the "synchronization" between paraglider and pilot, since movement deviations can occur due to the system (pendulum) and to determine the movement vector during a take-off phase. 16
- the gyroscopic data of the pilot or the load 53 are determined to determine the thrust vector and to detect disturbances during the takeoff phase (e.g. the pilot falls during takeoff).
- the magnetometric data of the paraglider and the pilot are used to determine the difference in the orientation around the z-axis, since the pilot is in the final phase when using a so-called "reverse launch” (glide is inflated backwards, but still has to be launched forwards). must turn 180° in relation to the paraglider before take-off. It is important to clearly determine the point in time of turning and the start of the acceleration phase.
- the magnetometric data from the paraglider are also used for long-term correction of the relative gyroscope.
- the relative distance measurement between the wing end points and the pilot using ultrasound is also used as a long-term correction of the "integrated acceleration" or to determine speed and position and in addition to determining line stretch.
- the air pressure is measured in order to determine the internal dynamic pressure of the paraglider and to record thermals (sinking or rising air masses).
- the global positioning system e.g. GPS, Galileo, etc.
- GPS global positioning system
- Galileo Galileo, etc.
- All of these calculations can be performed before the corresponding results are sent to the neural network as input data.
- the neural network can also be trained in such a way that it immediately evaluates the measured sensor data.
- the flight status system 20 can, for example, also include one or more additional sen soriens such.
- the canopy center sensor unit S4 (see Figure 1), which serves as an additional (zero) reference for the long-term correction of the relative gyroscope and, if necessary, also includes a dynamic pressure sensor in order to enable a holistic detection of the dynamic pressure distribution in the canopy. 17
- the central unit 30 comprises an evaluation system and/or control system 40, which is connected to the sensor interface 28 and the central sensor unit S1 via a central bus 29 and receives data sent via it.
- the evaluation system and/or control system 40 has an evaluation unit 37 , a control unit 35 and a flight recorder 31 .
- the flight recorder 31 is a writable and readable memory. It can be designed as an SD card or micro SD card, for example. Alternatively, it can also be in the form of a permanently installed memory that can be read out via an interface.
- the flight data that is to say the measurement data from all sensors and determined flight conditions, are stored on the flight recorder 31 .
- the flight states are determined by the evaluation unit 37 by means of an analysis unit 38 using a neural network.
- the measurement data from the sensors and possibly a time profile of this measurement data serve as the input vector.
- the neural network of the analysis unit 38 has been trained and is therefore designed for the specific task, by analyzing the flight data, i.e. the measurement data from the sensors, the flight situations with regard to safety and/or the canopy with regard to to evaluate their stability and/or to recognize the current maneuvers and/or dangerous situations.
- the analysis unit 38 can predict dangerous situations based on the patterns that precede them in the flight data, as also described above.
- control unit 35 can, for example, control the motor 58 via a control interface 36 . In this way, for example, additional thrust can be provided if the canopy 51 threatens to collapse, or the motor 58 can be shut down in an emergency if foreign objects enter the safety area of the rotor 59 .
- the control unit 35 can, for example, also control the trigger for the rescue parachute 61 so that it deploys automatically in an emergency situation.
- the evaluation system and/or control system 40 is also connected via two output interfaces 32 to acoustic output means 33 and optical output means 34 .
- the acoustic output means 33 can include headphones and/or a loudspeaker, for example.
- the optical output means 34 can e.g. B. as a hand 18 steering display, be designed on a smartwatch or a smartphone with the appropriate holder.
- the optical output means AR displays include the instructions or information z. B. in glasses or in a helmet visor as an overlay in the field of view.
- the central sensor unit S1 or the evaluation system and/or control system 40 can be designed as a separate component.
- the evaluation system and/or control system 40 can, as already stated above, essentially be implemented using software, so that with suitable interfaces (e.g. W-LAN, wireless connection, etc.), it can also be configured on a smartphone, for example, or arranged in a ground station can.
- the interfaces 28, 32, 36 shown and also the connection to the central sensor unit S1 can be wired or wireless (e.g. W-LAN, Bluetooth, Zigbee, radio connection, etc.).
- FIG. 4 shows a flowchart of an exemplary embodiment of a method according to the invention for determining a flight condition of a paraglider 50, 50'.
- the sensor arrangement S1, S2, S3 is used to acquire measurement data from the sensors and a first distance d1 between the shield cap ends 52 and the two second distances d2, d3 between a shield cap end 52 and the load 53 are determined.
- a flight state is determined in the analysis unit 38 of the evaluation unit 37 by means of a neural network using the first distance d1 and/or the second distances d2, d3. This means that the flight situation is evaluated with regard to safety and/or the canopy is evaluated with regard to its stability and/or the current maneuvers and/or dangerous situations are recognized.
- the analysis unit 38 uses the neural network to make a prediction about possible dangerous situations based on the patterns preceding them in the flight data.
- the flight condition and/or the prediction can be output by means of the acoustic output means 33 and/or optical output means 34 in step IV turn 19
- an instruction can be issued via the acoustic output means 33 and/or optical output means 34, with the help of which the current flight status can be improved or the current dangerous situation can be ended.
- the motor 58 or the trigger for the rescue parachute 61 can be activated by means of the control device on the basis of the flight condition and/or the prediction.
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
Description
Claims
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/EP2021/062545 WO2022237973A1 (de) | 2021-05-11 | 2021-05-11 | Ermitteln eines flugzustandes und steuerung eines gleitschirms |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4337529A1 true EP4337529A1 (de) | 2024-03-20 |
Family
ID=76034615
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP21726864.8A Pending EP4337529A1 (de) | 2021-05-11 | 2021-05-11 | Ermitteln eines flugzustandes und steuerung eines gleitschirms |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20250074604A1 (de) |
| EP (1) | EP4337529A1 (de) |
| WO (1) | WO2022237973A1 (de) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2022380638B2 (en) * | 2021-08-19 | 2024-11-28 | Merlin Labs, Inc. | Advanced flight processing system and/or method |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5904324A (en) * | 1995-03-24 | 1999-05-18 | Di Bella; Geoffrey | Non-motorized aircraft flight control system |
| US5901924A (en) * | 1997-02-26 | 1999-05-11 | Strieber; Louis Charles | Speed enhanced powered parachute |
| US20030025038A1 (en) * | 2001-08-06 | 2003-02-06 | Lockheed Martin Corporation | Autonomous control of a parafoil recovery system for UAVs |
| US7059570B2 (en) * | 2004-04-20 | 2006-06-13 | Edward Strong | Aerial delivery device |
| WO2010130043A1 (en) * | 2009-05-15 | 2010-11-18 | Mist Mobility Integrated Systems Technology , Inc . | Apparatus for supporting a parachute flight controller and flight controller for a parachute |
| DE202009007087U1 (de) * | 2009-05-16 | 2009-07-23 | Eck, Werner, Dr. | Antriebseinrichtung für einen Gleitschirm |
| US9218004B2 (en) * | 2011-03-31 | 2015-12-22 | The Boeing Company | Flight path control system for aircraft |
| DE102012014740B3 (de) * | 2012-07-26 | 2014-01-02 | Jürgen Wagner | Vorrichtung zum Verlassen unkontrollierter Spiraldrehungen zum Vermeiden von Abstürzen von Gleitschirmen |
| US20170253339A1 (en) * | 2016-03-04 | 2017-09-07 | Airborne Systems Na Inc. | Glide modulator system and method for a ram air parachute |
| WO2018020500A1 (en) * | 2016-07-28 | 2018-02-01 | Urban Aeronautics, Ltd | System and method for automated landing of a parachute-suspended body |
| CN112644705B (zh) * | 2020-12-28 | 2022-03-01 | 深圳市百川融创科技有限公司 | 可弹射回收的牵引式冲压翼伞 |
| EP4337528A1 (de) * | 2021-05-11 | 2024-03-20 | Atlasaero GmbH | Gleitschirmsteuerung |
-
2021
- 2021-05-11 US US18/559,849 patent/US20250074604A1/en active Pending
- 2021-05-11 EP EP21726864.8A patent/EP4337529A1/de active Pending
- 2021-05-11 WO PCT/EP2021/062545 patent/WO2022237973A1/de not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| US20250074604A1 (en) | 2025-03-06 |
| WO2022237973A1 (de) | 2022-11-17 |
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